Deep Scientific Discovery

This repository contains code for the paper Using Deep Networks for Scientific Discovery in Physiological Signals

Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan and Uri Shalit

Proceedings of Machine Learning for Healthcare, 2020

To apply the method on your task

Integrate HSICClassifier from networks.py and HSICLoss from hsic.py in your classification task

❤️ To run the ECG experiments

1. Download and preprocess the PhysioNet 2017 data by running

   python -m ECG.prepare_dataset

2. Train the main task

   python -m ECG.train_main_task

3. To evaluate model validity, you may want to run

   python -m ECG.train_independence
   python -m ECG.train_rep2label

4. To visualize the obtained activations:

   python -m ECG.visualize_cam

🧠 To run the EEG experiments

Follow the same steps as in the ECG experiment above, replacing ECG with EEG

---

logo created by Atif Arshad from the Noun Project